此外，对近似的样本神经元进行合并，使用剪枝操作删除含坏数据的样本神经元，从而保证了算法的健壮性，并且精炼了网络结构。
Furthermore, similar example neurons are combined and neurons with bad data are cut to maintain robustness of the algorithm and simpleness of the network architecture.
第三阶段为剪枝阶段，通过获得最小结构的神经网络以提高其泛化能力。
In the third stage, which is called prune stage, minimal structure of neural network is achieved by prune so as to improve its generalization capability.
然后应用多权重剪枝策略（MW-OBS）进一步简化、确定网络结构。
The multi-weights-optimal brain surgeon (MW-OBS) algorithm, was included to further prune unimportant weights or nodes.
然后应用多权重剪枝策略（MW-OBS）进一步简化、确定网络结构。
The multi-weights-optimal brain surgeon (MW-OBS) algorithm, was included to further prune unimportant weights or nodes.
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